EAAC-Net: An Efficient Adaptive Attention and Convolution Fusion Network for Skin Lesion Segmentation [0.03%]
一种有效的自适应注意和卷积融合网络用于皮肤病变分割
Chao Fan,Zhentong Zhu,Bincheng Peng et al.
Chao Fan et al.
Accurate segmentation of skin lesions in dermoscopic images is of key importance for quantitative analysis of melanoma. Although existing medical image segmentation methods significantly improve skin lesion segmentation, they still have lim...
Predictive Study of Machine Learning-Based Multiparametric MRI Radiomics Nomogram for Perineural Invasion in Rectal Cancer: A Pilot Study [0.03%]
基于机器学习的多参数MRI影像组学预测直肠癌神经周围浸润的列线图模型的预可行性研究
Yueyan Wang,Aiqi Chen,Kai Wang et al.
Yueyan Wang et al.
This study aimed to establish and validate the efficacy of a nomogram model, synthesized through the integration of multi-parametric magnetic resonance radiomics and clinical risk factors, for forecasting perineural invasion in rectal cance...
Deep Learning-Based Prediction of Post-treatment Survival in Hepatocellular Carcinoma Patients Using Pre-treatment CT Images and Clinical Data [0.03%]
基于深度学习的肝细胞癌患者治疗前CT影像和临床数据的术后生存预测
Kyung Hwa Lee,Jungwook Lee,Gwang Hyeon Choi et al.
Kyung Hwa Lee et al.
The objective of this study was to develop and evaluate a model for predicting post-treatment survival in hepatocellular carcinoma (HCC) patients using their CT images and clinical information, including various treatment information. We co...
Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI Sequences [0.03%]
基于深度学习优化急性卒中MRI分割：自配置神经网络仅使用DWI序列即可提供高性能
Peter Kamel,Adway Kanhere,Pranav Kulkarni et al.
Peter Kamel et al.
Segmentation of infarcts is clinically important in ischemic stroke management and prognostication. It is unclear what role the combination of DWI, ADC, and FLAIR MRI sequences provide for deep learning in infarct segmentation. Recent techn...
Ensemble of Deep Learning Architectures with Machine Learning for Pneumonia Classification Using Chest X-rays [0.03%]
基于机器学习的深度学习架构在胸部X光肺炎分类中的应用研究
Rupali Vyas,Deepak Rao Khadatkar
Rupali Vyas
Pneumonia is a severe health concern, particularly for vulnerable groups, needing early and correct classification for optimal treatment. This study addresses the use of deep learning combined with machine learning classifiers (DLxMLCs) for...
The Usefulness of Low-Kiloelectron Volt Virtual Monochromatic Contrast-Enhanced Computed Tomography with Deep Learning Image Reconstruction Technique in Improving the Delineation of Pancreatic Ductal Adenocarcinoma [0.03%]
基于深度学习图像重建技术的低千电子伏特虚拟单色对比剂增强CT在胰腺导管腺癌边界改善中的应用价值研究
Yasutaka Ichikawa,Yoshinori Kanii,Akio Yamazaki et al.
Yasutaka Ichikawa et al.
To evaluate the usefulness of low-keV multiphasic computed tomography (CT) with deep learning image reconstruction (DLIR) in improving the delineation of pancreatic ductal adenocarcinoma (PDAC) compared to conventional hybrid iterative reco...
A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension [0.03%]
基于深度学习的心电图和胸部X光片在肺动脉高压检测中的应用
Pang-Yen Liu,Shi-Chue Hsing,Dung-Jang Tsai et al.
Pang-Yen Liu et al.
The diagnosis and treatment of pulmonary hypertension have changed dramatically through the re-defined diagnostic criteria and advanced drug development in the past decade. The application of Artificial Intelligence for the detection of ele...
Automated Cerebrovascular Segmentation and Visualization of Intracranial Time-of-Flight Magnetic Resonance Angiography Based on Deep Learning [0.03%]
基于深度学习的颅内时间飞跃磁共振血管成像的脑血管自动分割与可视化技术
Yuqin Min,Jing Li,Shouqiang Jia et al.
Yuqin Min et al.
Time-of-flight magnetic resonance angiography (TOF-MRA) is a non-contrast technique used to visualize neurovascular. However, manual reconstruction of the volume render (VR) by radiologists is time-consuming and labor-intensive. Deep learni...
Robust ROI Detection in Whole Slide Images Guided by Pathologists' Viewing Patterns [0.03%]
基于病理学家观看模式的全片图像稳健ROI检测方法
Fatemeh Ghezloo,Oliver H Chang,Stevan R Knezevich et al.
Fatemeh Ghezloo et al.
Deep learning techniques offer improvements in computer-aided diagnosis systems. However, acquiring image domain annotations is challenging due to the knowledge and commitment required of expert pathologists. Pathologists often identify reg...
Yul Hee Lee,Ji-Su Shim,Young Jae Kim et al.
Yul Hee Lee et al.
The skin prick test (SPT) is a key tool for identifying sensitized allergens associated with immunoglobulin E-mediated allergic diseases such as asthma, allergic rhinitis, atopic dermatitis, urticaria, angioedema, and anaphylaxis. However, ...